DocumentCode
2132094
Title
A genetic algorithm to search of good double-circulant codes
Author
Azouaoui, Ahmed ; Askali, Mohamed ; Belkasmi, Mostafa
Author_Institution
SIME Labo, MohammedV-Souisi Univ., Rabat, Morocco
fYear
2011
fDate
7-9 April 2011
Firstpage
1
Lastpage
5
Abstract
Genetic algorithms have been used successfully for solving different combinatorial optimization problems. We give here an efficient algorithm for the search of good double-circulant codes. The algorithm presented is intended to generate a double-circulant code with maximum minimum distance for each length. Some results are presented and validated by exact method, others promising results are also presented for long double-circulant codes.
Keywords
codes; genetic algorithms; combinatorial optimization problem; genetic algorithm; good double-circulant code; Biological cells; Error correction codes; Generators; Genetic algorithms; Optimization; Redundancy; Systematics; Double circulant Code; Error correcting Codes; Genetic Algorithms; Good Codes; Minimum Distance;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems (ICMCS), 2011 International Conference on
Conference_Location
Ouarzazate
ISSN
Pending
Print_ISBN
978-1-61284-730-6
Type
conf
DOI
10.1109/ICMCS.2011.5945582
Filename
5945582
Link To Document